Search Results - "Sellami, Lamia"
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1
A novel approach to enhance feature selection using linearity assessment with ordinary least squares regression for Alzheimer’s Disease stage classification
Published in Multimedia tools and applications (01-11-2024)“…Diagnosing Alzheimer’s disease (AD) in its prodromal stage is a significantly crucial area of research. Approximately 50% of individuals within the well-known…”
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Journal Article -
2
Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction
Published in Biomedical signal processing and control (01-02-2018)“…[Display omitted] •Automatic method for MS lesion exploration based on MRI sequences fusion.•Advanced volumetric feature extraction techniques.•Advanced…”
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Journal Article -
3
Enhancing Breast Cancer Detection through Advanced Deep Learning: An Application of YOLOv8x on Mammographic Images
Published in 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP) (11-07-2024)“…This study explores the potential of advanced deep learning techniques, specifically the YOLOv8 architecture, for enhancing breast cancer detection within…”
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Conference Proceeding -
4
Advancing Breast Cancer Detection with Convolutional Neural Networks: A Comparative Analysis of MIAS and DDSM Datasets
Published in 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP) (11-07-2024)“…In this research, we present a Convolutional Neural Network (CNN) model designed to improve the detection and classification of breast cancer from mammographic…”
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Conference Proceeding -
5
Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system
Published in Biomedical signal processing and control (01-03-2019)“…•Automatic brain segmentation and MS lesion exploration.•Advanced lesion parts discrimination into nucleus and edema.•An automatic lesion classification…”
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Journal Article -
6
Transfer Learning Models for MRI-Based Brain Tumor Detection
Published in 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP) (11-07-2024)“…Human health, especially brain health, is paramount for overall well-being. Magnetic Resonance Imaging (MRI) serves as a vital diagnostic tool for assessing…”
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Conference Proceeding -
7
New and optimal set up for 3D-based stereovision system for manufacturing inspection in 4.0 industry
Published in 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (24-05-2022)“…The manufacturing industry faces unprecedented progress accompanied with numerous challenges. For instance, Inspections of castings and forgings require the…”
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Conference Proceeding -
8
fMRI Imaging Based Human Brain Parcellation Methods: A review
Published in 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (01-09-2020)“…In the context of functional magnetic resonance imaging (fMRI) images, human brain parcellation is a very critical issue for human brain network generation,…”
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Conference Proceeding -
9
A classification approach to prostate cancer localization in 3T multi-parametric MRI
Published in 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (01-03-2016)“…Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies, its potential in prostate cancer detection and analysis. We propose a…”
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Conference Proceeding -
10
Effets des ions lourds hyperthermiques sur l'ADN et ses composés
Published 01-01-2007“…Contrairement aux rayonnements conventionnels (électrons, rayons X) dont le profil de dose délivrée aux tissus décroît avec la profondeur traversée, celui des…”
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Dissertation -
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Multi-slices breast ultrasound lesion segmentation using Multi-Scale Vector Field Convolution snake
Published in 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (01-03-2014)“…This study aims to apply a novel method called Multi-scale Vector Field Convolution Snake (MVFC) to segment breast ultrasound images using all slices…”
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Conference Proceeding -
12
PGVF-ACM automatic segmentation of PET images for breast cancer characterization
Published in 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (01-03-2014)“…Medical imaging research became an important field of investigation that could be very useful for clinical exploration, particularly for serious pathological…”
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Conference Proceeding -
13
Photoluminescence study of gallium arsenide irradiated with 15 MeV alpha particles
Published in IEEE transactions on nuclear science (01-12-1999)“…Gallium arsenide wafers were irradiated at room temperature with 15 MeV alpha particles and fluences in the range 10/sup 10/ to 10/sup 14/ /spl alpha//cm/sup…”
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Journal Article -
14
Effet de l'irradiation par des particules alpha sur l'arséniure de gallium
Published 01-01-2000“…Dans ce travail, on présentera l'étude de l'effet de l'irradiation par les particules alpha énergétiques sur l'arséniure de gallium (GaAs). Dans ce but, on a…”
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Dissertation -
15
An Advanced MRI Multi-Modalities Segmentation Methodology Dedicated to Multiple Sclerosis Lesions Exploration and Differentiation
Published in IEEE transactions on nanobioscience (01-12-2017)“…Multiple sclerosis (MS) is one of the most common neurological diseases in young people. This paper dealt with an automatic biomedical aided tool involving…”
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Magazine Article -
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Breast Cancer Ultrasound Images' Sequence Exploration Using BI-RADS Features' Extraction: Towards an Advanced Clinical Aided Tool for Precise Lesion Characterization
Published in IEEE transactions on nanobioscience (01-10-2015)“…This research concerned a clinical need for precise breast cancer lesion characterization imaged by ultrasound sequences. Using therefore BI-RADS features that…”
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Magazine Article